IncOS
Find, Resolve, and
Deploy the Crux.
Turn your domain expertise into an AI capability that learns how your business works, improves through use, and can increasingly operate on your behalf.
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AI Has Intelligence.
Your Business Has Context.
AI has dramatically reduced the cost of building software and deploying productive capacity. But three problems remain.
Judgment
Models are still overconfident. They answer when they should ask, and struggle to recognize the decisions where missing context can materially change the outcome.
Composability
There is no single best model. Every task requires a different combination of performance, speed, cost, privacy, tools, and control.
Learning
Most AI systems do not naturally get better at your specific job once deployed. Your corrections, decisions, and outcomes generate valuable information every day, but that knowledge rarely compounds into a capability you own.
IncOS is built to close that loop.
Your Business, Represented
as a Context Graph.
IncOS builds a persistent Context Graph across your goals, assumptions, evidence, constraints, decisions, people, agents, and outcomes. It captures not only what your business knows, but why decisions were made and what happened afterward. Instead of starting every AI interaction from another blank conversation, your agents operate against a continuously evolving representation of your business.
Goals→Evidence→Assumptions→Decisions→Actions→Outcomes
Find the Crux.
Not every decision needs your attention. IncOS identifies the moments where additional information, experimentation, or human judgment has the highest potential impact. We call these Cruxes. A crux may be:
- A missing assumption
- An unresolved trade-off
- A disagreement between models
- A decision near a confidence boundary
- A consequential action that needs escalation
- An opportunity where more information could change the outcome
The goal is not to keep humans in every loop. It is to bring humans into the right loops.
Resolve Before
You Deploy.
For consequential cruxes, IncOS can construct simulation environments from your business context. Test alternative actions, generate edge cases, establish baselines, identify failure regions, and calibrate when a model should operate autonomously versus ask for help.
Context→Crux→Simulation→Evaluation→Resolution
Instead of asking a model what it thinks, test what is likely to happen.
Deploy Into
the Work.
Once resolved, decisions can be deployed through the tools and agents already operating your business. IncOS integrates through MCP, Skills, extensions, and agent environments including Chrome, Cursor, and Claude Code. Different cruxes can use different models, tools, and controls based on the required trade-off between performance, speed, cost, privacy, and risk.
You are not locked into one model. You own the capability.
Every Outcome
Becomes Learning.
Deployment produces something more valuable than another chat transcript. It produces a decision episode: context + decision + action + outcome. IncOS turns these episodes into evals, simulations, training data, and model improvements. Over time:
More Decisions→Better Context→Better Evals→Better Models→Fewer Escalations→More Autonomous Work
The system learns where your judgment matters and where it no longer needs you.
From Generic AI to
Proprietary Capability.
Your competitive advantage is not access to the same frontier model everyone else can use. It is the capability that accumulates around your business.
Context Graphs
Your proprietary business context and decision history.
Cruxes
The high-value judgments that teach the system how you operate.
Environments & Evals
A measurable definition of what good performance means.
Models & Harnesses
Fine-tuned, post-trained, and composable AI optimized for your use case.
Trajectories
Real and simulated experience that makes the capability better over time.
Own the capability, not just the code.
Built Across the
Full AI Stack.
Find
ContextCrux identifies consequential gaps, uncertainties, and decisions across your business context.
Resolve
CruxBench, evals, and simulation environments measure alternatives, calibration, and decision quality.
Improve
Open-weight models, post-training, synthetic data, and representation-level interventions hill-climb performance against your evals.
Deploy
MCP, Skills, Chrome, Cursor, Claude Code, and other integrations bring those capabilities back into real workflows.
Learn
Outcomes update the Context Graph and create the next generation of training and evaluation data.
A New Kind
of Entrepreneur.
AI is lowering the fixed cost of creating and operating a business. That means ideas that were previously too small, too local, too unusual, or too uncertain to justify an engineering team can increasingly become viable businesses.
We are particularly interested in domains such as food, energy, water, and air, where thousands of repeated decisions allocate scarce resources and outcomes can be measured.
The people best positioned to build these businesses may already possess the key asset: deep context about a problem worth solving. IncOS gives them the productive capacity around it.
Put Capital Behind What
You Know How to Make Happen.
- You can invest $5,000 in somebody else's company.
- You can put $5,000 behind a prediction about what will happen.
- Or increasingly, you can put $5,000 behind your own expertise.
IncOS is being built for a new generation of micro-entrepreneurs who can combine domain knowledge, modest capital, and machine productive capacity to create businesses that previously could not economically exist.
The Minimum Viable
Company Is Getting Smaller.
Ten years ago, building a software company could require months of work and an entire technical team before you could test an idea. AI changes that equation.
Our long-term bet is that one person will be able to own and operate capabilities that previously required an organization.
IncOS
Find, Resolve, and Deploy the Crux Across Your Business Context.